Synthetic coded aperture snapshot spectral imaging based on coprime sub-aperture sampling.

Area of Science:

• Optics and photonics
• Image processing
• Array signal processing

Background:

• Single cameras struggle with imaging large scenes.
• Virtual large apertures can be synthesized using sub-aperture cooperation.
• Coded aperture snapshot spectral imaging (CASSI) offers data reduction potential.

Purpose of the Study:

• To propose a novel method for large-area scene imaging.
• To combine CASSI with coprime arrays for efficient data sampling.
• To ensure high reconstruction accuracy in large-area imaging.

Main Methods:

• Utilizing a coded aperture snapshot spectral imager.
• Employing a coprime array for sub-aperture positioning.
• Reducing data by using smaller sub-apertures for sampling.
• Determining sub-aperture positions based on coprime array element distribution.

Main Results:

• The proposed method reduces data acquisition requirements.
• Sub-aperture placement ensures sampling of target and adjacent areas.
• Numerical simulations verified the feasibility of coprime sub-aperture sampling.
• High reconstruction accuracy is achievable with the proposed technique.

Conclusions:

• The combination of CASSI and coprime arrays is a feasible solution for large-area scene imaging.
• This method effectively reduces data volume while maintaining reconstruction accuracy.
• Future work may involve experimental validation and optimization of the coprime array design.